Conversational Chatbot With Object Recognition Using Deep Learning and Machine Learning

Babu A.M.; Jawarneh M.; Arias-Gonzáles J.L.; Meenakshi; Kasat K.; Yuvaraj K.P. · Conversational Artificial Intelligence (2024) · DOI: 10.1002/9781394200801.ch21

Resumen

In the field of computer vision, the identification of an object offers evolving and challenging difficulties. Visual object identification is a common and automatic biological visual function for humans, but it is challenging for computers. Object recognition is a significant difficulty in computer vision because of the substantial diversity in images of objects in the same class under different viewing conditions. Object recognition has a wide range of uses, including in the fields of biometrics, defense, robotics, visual surveillance, and driving assistance. This article presents a chatbot framework for object detection. This proposed framework makes use of image processing and deep learning techniques. Three classification techniques-support vector machine, AdaBoost, and convolutional neural network (CNN)-are used in the proposed framework. COCO dataset is used to perform experiments. The experimental results have shown that the CNN algorithm is providing the best results in object detection.